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ORCIDMingxuan Sun 0002
Person information
- affiliation: Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- affiliation (former, PhD 2002): Nanyang Technological University, Singapore
Other persons with the same name
- Mingxuan Sun (aka: Ming-Xuan Sun) — disambiguation page
- Mingxuan Sun 0001
![[0000-0003-0119-601X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0119-601X")
— Louisiana State University, Division of Computer Science and Engineering, Baton Rouge, LA, USA (and 1 more)
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2020 – today
- 2025
[j27]Mingxuan Sun, Yu Zhang, Liming Wang, Yuxin Wu, Guomin Zhong:
Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time. Neural Comput. Appl. 37(8): 6067-6084 (2025)- [j26]Guomin Zhong, Liming Wang, Mingxuan Sun:
An Initial-Rectifying-Constraint Optimization Scheme for Repetitive Motion Planning by Using Prescribed-Time Zeroing Neural Networks. IEEE Trans Autom. Sci. Eng. 22: 11087-11098 (2025) - [j25]Shengxiang Zou, Mingxuan Sun, Guomin Zhong, Xiongxiong He:
Deadzone-Modified Robust Adaptive Learning Bipartite Consensus for Heterogeneous Nonlinear Multiagent Systems. IEEE Trans Autom. Sci. Eng. 22: 11405-11418 (2025) - 2024
- [j24]Mingxuan Sun, Xing Li, Guomin Zhong:
Performance enhancing ZNN models for time-variant equality-constraint convex optimization solving: A transition-state based attracting system approach. Expert Syst. Appl. 237(Part C): 121559 (2024) - [j23]Xing Li, Liming Wang, Guomin Zhong, Mingxuan Sun:
Fixed-time convergent RNNs with logarithmic settling time for time-variant quadratic programming solving with application to repetitive motion planning. Neural Comput. Appl. 36(1): 445-460 (2024) - [j22]Shengxiang Zou, Mingxuan Sun, Xiongxiong He:
Fuzzy Adaptive Learning Bipartite Consensus for Strict-Feedback Structurally Unbalanced Multiagent Systems With State Constraints. IEEE Trans. Fuzzy Syst. 32(4): 2063-2076 (2024) - 2023
- [j21]Mingxuan Sun, Xing Li, Guomin Zhong:
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing. Neural Comput. Appl. 35(2): 1675-1693 (2023) - [j20]Wei Li, Mingxuan Sun, Xiongxiong He:
Attractiveness and Invariance Assessments of Dead-Beat Sliding-Mode Control With Power Rule. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2495-2499 (2023) - [j19]Mingxuan Sun, Shengxiang Zou:
Adaptive Learning Control Algorithms for Infinite-Duration Tracking. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10004-10017 (2023) - [j18]Shengxiang Zou, Mingxuan Sun, Xiongxiong He:
Integral Lyapunov Function-Based Adaptive Learning Control for Nonstrict-Feedback Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7152-7164 (2023) - 2022
- [j17]Yizhao Zhan, Shengxiang Zou, Xiongxiong He, Mingxuan Sun:
Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems. Complex. 2022: 2847785:1-2847785:19 (2022) - [j16]Lingwei Wu, Bicheng Lei, Mingxuan Sun:
Steady-State Error Band Improvement Using Dead-Beat Terminal Sliding Mode Control. IEEE Trans. Circuits Syst. II Express Briefs 69(8): 3590-3594 (2022) - [j15]Mingxuan Sun, Yu Zhang, Yuxin Wu, Xiongxiong He:
On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7289-7302 (2022) - 2021
- [j14]Mingxuan Sun, Yizhao Zhan, Shengxiang Zou, Xiongxiong He:
Adaptive Iterative Learning Control for Tracking Trajectories With Non-Equal Trail Lengths and Initial Errors. IEEE Access 9: 60853-60864 (2021) - [j13]Qiang Chen, Xinqi Yu, Mingxuan Sun, Chun Wu, Zijun Fu:
Adaptive Repetitive Learning Control of PMSM Servo Systems with Bounded Nonparametric Uncertainties: Theory and Experiments. IEEE Trans. Ind. Electron. 68(9): 8626-8635 (2021) - [j12]Mingxuan Sun, He Li, Wei Li:
On Finite-Duration Convergent Attracting Laws. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 5017-5029 (2021) - [j11]He Li, Mingxuan Sun:
Repetitive Learning Control for Control-Affine Systems With Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 5142-5152 (2021) - 2020
- [j10]Mingxuan Sun, Dingen Weng, Yu Zhang:
有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks). 计算机科学 47(1): 212-218 (2020) - [j9]Qiang Chen, Huihui Shi, Mingxuan Sun:
Echo State Network-Based Backstepping Adaptive Iterative Learning Control for Strict-Feedback Systems: An Error-Tracking Approach. IEEE Trans. Cybern. 50(7): 3009-3022 (2020) - [j8]Mingxuan Sun:
Two-Phase Attractors for Finite-Duration Consensus of Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1757-1765 (2020)
2010 – 2019
- 2018
- [j7]Zhongtian Chen, Qiang Chen, Xiongxiong He, Mingxuan Sun:
Adaptive Backstepping Control Design for Uncertain Rigid Spacecraft With Both Input and Output Constraints. IEEE Access 6: 60776-60789 (2018) - [j6]Zhongtian Chen, Qiang Chen, Xiongxiong He, Mingxuan Sun:
Adaptive Finite-Time Command Filtered Fault-Tolerant Control for Uncertain Spacecraft with Prescribed Performance. Complex. 2018: 4912483:1-4912483:12 (2018) - [j5]Qiang Chen, Shuzong Xie, Mingxuan Sun, Xiongxiong He:
Adaptive Nonsingular Fixed-Time Attitude Stabilization of Uncertain Spacecraft. IEEE Trans. Aerosp. Electron. Syst. 54(6): 2937-2950 (2018) - [j4]Mingxuan Sun, Lingwei Wu, Yi Hu, Wenwei Zhou:
Digital Control Strategies With Attractiveness and Invariance Specifications. IEEE Trans. Control. Syst. Technol. 26(4): 1272-1284 (2018) - [j3]Mingxuan Sun, Tao Wu, Lejian Chen, Guofeng Zhang:
Neural AILC for Error Tracking Against Arbitrary Initial Shifts. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2705-2716 (2018) - 2017
- [c3]Qiang Chen, Huihui Shi, Mingxuan Sun:
Neural Network Based Finite-Time Adaptive Backstepping Control of Flexible Joint Manipulators. ICONIP (6) 2017: 403-412 - 2012
- [j2]Pengnian Chen, Mingxuan Sun, Qiuzhen Yan, Xueyi Fang:
Adaptive Asymptotic Rejection of Unmatched General Periodic Disturbances in Output-Feedback Nonlinear Systems. IEEE Trans. Autom. Control. 57(4): 1056-1061 (2012) - [c2]Mingxuan Sun, Xiangbin Liu, Haigang He:
Adaptive iterative learning control for SISO discrete time-varying systems. ICARCV 2012: 58-63 - 2010
- [j1]Mingxuan Sun, Danwei Wang, Youyi Wang:
Varying-order iterative learning control against perturbed initial conditions. J. Frankl. Inst. 347(8): 1526-1549 (2010)
2000 – 2009
- 2008
- [c1]Mingxuan Sun:
On Initial Rectifying Learning for Linear Time-Invariant Systems with Rank-Defective Markov Parameters. ICIC (1) 2008: 736-743
Coauthor Index
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